Multiple Bad Data Identification Considering Measurement Dependencies

Abstract

This paper analyzes the multiple bad data originated by a gross error in any voltage or current transformer of the measurement equipment. Considering the statistical correlations among measurements, an identification algorithm based on the largest normalized residual test is specifically designed to deal with multiple bad data. Two case studies are analyzed and conclusions duly drawn.